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On benchmarking camera calibration and multi-view stereo for high resolution imagery. In Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA, 23–28 June 2008; IEEE: Piscataway, NJ, USA, 2008; pp. 1–8. [Google Scholar] Schops, T.; ...
Table 2 presents the results of our methods on the 3D detection benchmark and the BEV detection (3D location) benchmark of the KITTI val set, compared with several state-of-the-art algorithms, including LIDAR-based [2,5,6] and joint LIDAR-camera [18,21,23,25] methods. MV3D [21] ...
On benchmarking camera calibration and multi-view stereo for high resolution imagery. In Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA, 23–28 June 2008; IEEE: Piscataway, NJ, USA, 2008; pp. 1–8. [Google Scholar] Schops, T.; ...
Calibration of External Parameters of Vehicle-mounted Camera with Trilinear method. J. Opto-Electron. Eng. 2004, 31, 8. 22. Ramm, F.; Topf, J.; Chilton, S. OpenStreetMap: Using and Enhancing the Free Map of the World, 1st ed.; UIT Cambridge: Cambridge, UK, 2010. 23. Chen, S....
The test set was gathered using a vehicle equipped with a Velodyne 32-line LiDAR and a forward-view monocular camera for visualization. Notably, the two sensors were synchronized in time, but external parameter calibration was not conducted. The lack of sensor calibration matrices disabled the ...